Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm

This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of a Jaya technique over a fuzzy load forecast m...

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Bibliographic Details
Published in:	International journal of computational intelligence systems Vol. 13; no. 1; pp. 875 - 892
Main Author:	Anh, Ho Pham Huy
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.01.2020 Springer Nature B.V Springer
Subjects:	Advanced fuzzy load forecasting model Algorithms Electricity consumption Forecasting Hybrid fuzzy-MJO load forecasting algorithm Mathematical models Minimal peak energy error Minimal total energy error Modified Jaya optimization (MJO) algorithm Optimization Power consumption Research Article Minimal peak energy error Minimal total energy error Hybrid fuzzy-MJO load forecasting algorithm Advanced fuzzy load forecasting model Modified Jaya optimization (MJO) algorithm
ISSN:	1875-6891, 1875-6883
Online Access:	Get full text
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Summary:	This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of a Jaya technique over a fuzzy load forecast model. The novel Fuzzy-MJO load forecasting systems uses the day-time and the daily power consumption to efficiently predict the forecast power consumption. The comparative load forecasting results between proposed Fuzzy-MJO with the latest other algorithms are adequately presented. The full week forecast results using proposed hybrid Fuzzy-MJO load forecasting algorithm demonstrates an outperforming superiority, through the various tested cases, regarding to the total and the peak power error in comparison with the fuzzy-based load forecast model.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	1875-6891 1875-6883
DOI:	10.2991/ijcis.d.200617.002